Source connector
Opsgenie connector
Opsgenie integration for databases, warehouses and BI tools
On-call alerting and incident escalation. Datrise captures Opsgenie entities such as alerts, incidents, schedules, escalations, teams and notification logs, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.
The Opsgenie REST API v2 authenticates with API key, incremental runs key on updatedAt.
Of the 6 objects, 5 sync as upserts keyed on the primary key and 1 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `opsgenie_alerts`) with a schema derived from the Opsgenie API rather than a flattened CSV, in any of the 43 supported destinations.
Datrise is in early access: pick a destination below to open the Opsgenie pipeline page, and join the waitlist to get the Opsgenie connector with guided onboarding.
What Opsgenie data Datrise extracts
Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.
| Object | Landing table | Sync mode |
|---|---|---|
| alerts | opsgenie_alerts | Upsert by primary key, incremental on updated-at |
| incidents | opsgenie_incidents | Upsert by primary key, incremental on updated-at |
| schedules | opsgenie_schedules | Upsert by primary key, incremental on updated-at |
| escalations | opsgenie_escalations | Upsert by primary key, incremental on updated-at |
| teams | opsgenie_teams | Upsert by primary key, incremental on updated-at |
| notification logs | opsgenie_notification_logs | Append-only, incremental by timestamp |
Opsgenie API: setup facts for the connector
Verified against the vendor documentation on 2026-09-02. Unknown values are left blank rather than guessed.
| API | Opsgenie REST API v2 |
|---|---|
| Authentication | API key — API integration key sent as an `Authorization: GenieKey <key>` header; the key's Configuration Access plus Read/Create-Update/Delete rights determine what it can call. |
| Pagination | offset — List Alerts takes `offset`/`limit` (default 20, max 100 per page) and returns `paging.next`/`first`/`last` URLs, but the sum of `offset` and `limit` cannot exceed 20,000. |
| Rate limit | Not published |
| Incremental cursor | updatedAt — The alert search query language supports range operators on `updatedAt` (e.g. `updatedAt>=...`), and `updatedAt` is also a valid `sort` field on List Alerts. |
| Webhooks | Yes — Webhook integration (Settings > Integrations > Webhook) |
| Bulk export | No |
| Deletes detectable | No |
What bites when replicating Opsgenie
- List Alerts hard-caps retrieval at 20,000 records per query (`offset + limit` must stay under 20,000); a connector polling a high-volume account must narrow the search query (e.g. by time window) to stay under that ceiling rather than paging through everything.
- Rate limits are not a fixed published number: each domain (Alert, Integration, Configuration, ...) gets a BaseLimit that is then multiplied by subscription plan and purchased user-seat count, so the safe request rate differs per account and must be read from the `X-RateLimit-State`/`X-RateLimit-Period-In-Sec` response headers rather than assumed.
- Many write operations (bulk actions, some alert actions) return HTTP 202 immediately and must be polled via `GET /v2/alerts/requests/:requestId` to learn whether they actually succeeded.
- There is no dedicated bulk-export or deleted-alerts endpoint; a connector must paginate `GET /v2/alerts` for full extracts and cannot detect deletions after the fact since deleted alerts simply stop appearing.
Popular destinations for Opsgenie
Choose a destination below to open the ready pipeline page.
- AAirtable
Relational spreadsheet destination for ops and go-to-market teams.
View pipeline - AAmazon Athena
Serverless SQL over S3 data lake tables.
View pipeline - AAmazon DynamoDB
Serverless key-value and document store on AWS.
View pipeline - AAmazon QuickSight
AWS serverless BI with SPICE and embedded analytics.
View pipeline - AAmazon Redshift
AWS petabyte-scale warehouse with Spectrum.
View pipeline - AAmazon S3 Data Lake
Object storage landing zone for parquet and snapshots.
View pipeline - AApache Superset
Open-source BI for SQL exploration, charts, and dashboard publishing.
View pipeline - AAzure Data Lake Storage
ADLS Gen2 object storage for analytics workloads.
View pipeline - AAzure Synapse
Microsoft analytics workspace with SQL pools.
View pipeline
Opsgenie connector FAQ
- What Opsgenie data does the connector extract?
- 6 objects: alerts, incidents, schedules, escalations, teams and notification logs. Each lands in its own table with types preserved; history-style objects (1: notification logs) load as append-only streams.
- Is the Opsgenie integration incremental?
- Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
- Where can I load Opsgenie data?
- Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Opsgenie → destination pair has its own page with the object-to-table mapping.
Related sources
Other sources in the same category, each with its own connector page.
Early access
Launch your Opsgenie pipeline with guided onboarding
Join the waitlist to get priority access for Opsgenie integrations with guided setup, schema-aware mapping, and production-grade incremental sync.